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MCP Host Project

Showcases how to integrate Spring AI's support for MCP (Model Context Protocol) within Spring Boot applications, covering both server-side and client-side implementations.

#spring#mcp
Created by oalles2025/04/09
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What is MCP Host Project?

What is MCP Host Project? The MCP Host Project showcases how to integrate Spring AI's support for the Model Context Protocol (MCP) within Spring Boot applications, covering both server-side and client-side implementations. How to use MCP Host Project? To use the MCP Host Project, start the Geocoder Service, Timezone Service, and MCP Host application. Then, interact with the MCP Host via the console by entering city names to receive geographical information. Key features of MCP Host Project? Integration of MCP for managing contextual interactions in AI models. Provides latitude and longitude for cities through the Geocoder Service. Offers timezone information based on geographical coordinates via the Timezone Service. Console interface for user interaction with an AI model. Use cases of MCP Host Project? Finding geographical coordinates for cities. Determining timezone information based on location. Enhancing AI model capabilities with contextual data. FAQ from MCP Host Project? What is MCP? MCP is a standard that streamlines the management of contextual interactions in AI models, enabling consistent integration with external data sources and tools. How do I run the project? Start each service (Geocoder, Timezone, and MCP Host) using Maven commands in their respective directories. What technologies are used? The project is built using Java and Spring Boot.

As an MCP (Model Context Protocol) server, MCP Host Project enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP Host Project

To use the MCP Host Project, start the Geocoder Service, Timezone Service, and MCP Host application. Then, interact with the MCP Host via the console by entering city names to receive geographical information. Key features of MCP Host Project? Integration of MCP for managing contextual interactions in AI models. Provides latitude and longitude for cities through the Geocoder Service. Offers timezone information based on geographical coordinates via the Timezone Service. Console interface for user interaction with an AI model. Use cases of MCP Host Project? Finding geographical coordinates for cities. Determining timezone information based on location. Enhancing AI model capabilities with contextual data. FAQ from MCP Host Project? What is MCP? MCP is a standard that streamlines the management of contextual interactions in AI models, enabling consistent integration with external data sources and tools. How do I run the project? Start each service (Geocoder, Timezone, and MCP Host) using Maven commands in their respective directories. What technologies are used? The project is built using Java and Spring Boot.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP Host Project can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Host Project provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.